Senior Software Engineer
Microsoft Bengaluru, Karnataka, India
Job Description
"Unlock your potential as a Senior Software Engineer at Microsoft, where innovation meets collaboration and the possibilities are endless."
At Microsoft, we're redefining the world of data analytics with our cutting-edge products and services. As a Senior Software Engineer on our Azure Data engineering team, you'll be at the forefront of this revolution, shaping the future of data-first applications.
With a focus on building a data platform for the age of AI, our team is dedicated to delivering innovative solutions that empower businesses and individuals alike. Join us and become part of a community that's passionate about making a difference in the world.
Why you should learn this:
According to Indeed, the demand for Senior Software Engineers in the US is projected to grow 21% by 2030, with a median salary range of $141,000 - $250,000.
Expected Salary: $141,000 - $250,000 (US)
How it works:
- Develop and maintain high-quality software applications for Azure Data engineering products and services.
- Collaborate with cross-functional teams to design, implement, and deploy data solutions that meet business requirements.
Core Concepts to Master
Cloud-Enabled Architecture
Understand the design principles and best practices for building scalable, secure, and highly available cloud-enabled applications using Azure services like Azure SQL DB, Azure Cosmos DB, and Azure Data Factory.
Big Data Analytics
Learn about the concepts and techniques for processing and analyzing large datasets using Azure Synapse Analytics, Azure Databricks, and other big data technologies.
Data Integration and Messaging
Discover how to design and implement data integration and messaging solutions using Azure Service Bus, Azure Event Grid, and other Azure services.
Business Intelligence and Power BI
Understand the concepts and best practices for building business intelligence solutions using Power BI, Azure Analysis Services, and other Azure services.
Interview Questions (Beginner)
- Can you explain the difference between Azure SQL DB and Azure Cosmos DB?
- How do you ensure data consistency and integrity in a distributed system?
- What are the key features of Azure Data Factory, and how do you use them?
Job Overview
Advance Questions
- • Design a data architecture for a real-time analytics application using Azure Event Grid and Azure Service Bus.
- • Explain how to implement data encryption and access control in Azure Synapse Analytics.
- • Describe a scenario where you would use Azure Databricks for big data analytics, and how you would optimize its performance.